April 2019
Intermediate to advanced
214 pages
5h 57m
German
Content preview from Merkmalskonstruktion für Machine LearningBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Vorwort
Einleitung
Maschinelles Lernen bedeutet, mathematische Modelle an Daten anzupassen, um daraus Erkenntnisse oder Vorhersagen zu gewinnen. Diese Modelle erwarten als Eingabe sogenannte Merkmale. Ein Merkmal ist eine numerische Darstellung eines bestimmten Aspekts von Rohdaten. In der Machine-Learning-Pipeline vermitteln Merkmale zwischen Daten und Modellen. Merkmalskonstruktion (engl. Feature Engineering) wird der Vorgang genannt, Merkmale aus Rohdaten zu gewinnen und in eine Form zu bringen, die sich für das Machine-Learning-Modell eignet. Sie ist ein entscheidender Schritt in der Machine-Learning-Pipeline, denn die richtigen Merkmale können den schwierigen Vorgang des Modellierens erleichtern und so eine bessere Qualität der Ergebnisse ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.